Results for 'Lukasiewicz negation'

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  1.  19
    Axiomatic rejection in the implicational-negational invariant sentential calculi of Lukasiewicz.Robert Sochacki - 2007 - Bulletin of the Section of Logic 36 (1/2):1-6.
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  2.  45
    Lukasiewicz's Many-valued Logic and Neoplatonic Scalar Modality.John N. Martin - 2002 - History and Philosophy of Logic 23 (2):95-120.
    This paper explores the modal interpretation of ?ukasiewicz's n -truth-values, his conditional and the puzzles they generate by exploring his suggestion that by ?necessity? he intends the concept used in traditional philosophy. Scalar adjectives form families with nested extensions over the left and right fields of an ordering relation described by an associated comparative adjective. Associated is a privative negation that reverses the ?rank? of a predicate within the field. If the scalar semantics is interpreted over a totally ordered (...)
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  3.  42
    Łukasiewicz Negation and Many-Valued Extensions of Constructive Logics.Thomas Macaulay Ferguson - 2014 - In Proc. 44th International Symposium on Multiple-Valued Logic. IEEE Computer Society Press. pp. 121-127.
    This paper examines the relationships between the many-valued logics G~ and Gn~ of Esteva, Godo, Hajek, and Navara, i.e., Godel logic G enriched with Łukasiewicz negation, and neighbors of intuitionistic logic. The popular fragments of Rauszer's Heyting-Brouwer logic HB admit many-valued extensions similar to G which may likewise be enriched with Łukasiewicz negation; the fuzzy extensions of these logics, including HB, are equivalent to G ~, as are their n-valued extensions equivalent to Gn~ for any n ≥ 2. (...)
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  4.  68
    Double-Negation Elimination in Some Propositional Logics.Michael Beeson, Robert Veroff & Larry Wos - 2005 - Studia Logica 80 (2-3):195-234.
    This article answers two questions (posed in the literature), each concerning the guaranteed existence of proofs free of double negation. A proof is free of double negation if none of its deduced steps contains a term of the formn(n(t)) for some term t, where n denotes negation. The first question asks for conditions on the hypotheses that, if satisfied, guarantee the existence of a double-negation-free proof when the conclusion is free of double negation. The second (...)
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  5.  60
    Nelson's Negation on the Base of Weaker Versions of Intuitionistic Negation.Dimiter Vakarelov - 2005 - Studia Logica 80 (2):393-430.
    Constructive logic with Nelson negation is an extension of the intuitionistic logic with a special type of negation expressing some features of constructive falsity and refutation by counterexample. In this paper we generalize this logic weakening maximally the underlying intuitionistic negation. The resulting system, called subminimal logic with Nelson negation, is studied by means of a kind of algebras called generalized N-lattices. We show that generalized N-lattices admit representation formalizing the intuitive idea of refutation by means (...)
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  6. A natural negation completion of Urquhart's many-valued logic C.José M. Mendez & Francisco Salto - 1998 - Journal of Philosophical Logic 27 (1):75-84.
    Etude de l'extension par la negation semi-intuitionniste de la logique positive des propositions appelee logique C, developpee par A. Urquhart afin de definir une semantique relationnelle valable pour la logique des valeurs infinies de Lukasiewicz (Lw). Evitant les axiomes de contraction et de reduction propres a la logique classique de Dummett, l'A. propose une semantique de type Routley-Meyer pour le systeme d'Urquhart (CI) en tant que celle-la ne fournit que des theories consistantes pour la completude de celui-ci.
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  7.  24
    The representation theorem for the algebras determined by the fragments of infinite-valued logic of Lukasiewicz.Barbara Wozniakowska - 1978 - Bulletin of the Section of Logic 7 (4):176-178.
    In this paper we shall give a characterization of D-algebras in terms of lattice ordered abelian groups. To make this paper self-contained we shall recall some notations from [4]. The symbols !; ^; _; serve as implication, conjunction, disjunction, and negation, respectively. By D we mean a set of connectives from the list above containing the implication connective !. By a D-formula we mean a formula built up in a usual way from an innite set of the propositional variables (...)
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  8.  46
    Complete and atomic algebras of the infinite valued łukasiewicz logic.Roberto Cignoli - 1991 - Studia Logica 50 (3-4):375 - 384.
    The infinite-valued logic of ukasiewicz was originally defined by means of an infinite-valued matrix. ukasiewicz took special forms of negation and implication as basic connectives and proposed an axiom system that he conjectured would be sufficient to derive the valid formulas of the logic; this was eventually verified by M. Wajsberg. The algebraic counterparts of this logic have become know as Wajsberg algebras. In this paper we show that a Wajsberg algebra is complete and atomic (as a lattice) if (...)
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  9.  47
    Natural dualities for varieties ofn-valued łukasiewicz algebras.H. A. Priestley - 1995 - Studia Logica 54 (3):333 - 370.
    Natural dualities are developed for varieties ofn-valued ukasiewicz algebras with and without negation. These dualities are based on hom-functors, and parallel Stone duality for Boolean algebras. A translation is described which relates the natural dualities to the corresponding restricted Priestley dualities. This enables a unified approach to free algebras to be presented, whence R. Cignoli's characterisations of the finitely generated free algebras are elucidated and new descriptions of arbitrary free algebras obtained. Finally it is shown how dualities for subvarieties (...)
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  10. Aristotle's Syllogistic from the Standpoint of Modern Formal Logic.JAN LUKASIEWICZ - 1951 - Revue de Métaphysique et de Morale 57 (4):456-458.
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  11.  59
    Zur Geschichte der Aussagenlogik.Jan Lukasiewicz - 1935 - Erkenntnis 5 (1):111-131.
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  12. Jan Lukasiewicz. Selected Works.J. Lukasiewicz - 1970
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  13. On the Principle of Contradiction in Aristotle.Jan Lukasiewicz & Vernon Wedin - 1971 - Review of Metaphysics 24 (3):485 - 509.
  14.  14
    Complexity results for preference aggregation over (m)CP-nets: Max and rank voting.Thomas Lukasiewicz & Enrico Malizia - 2022 - Artificial Intelligence 303 (C):103636.
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  15.  6
    Inconsistency-tolerant query answering for existential rules.Thomas Lukasiewicz, Enrico Malizia, Maria Vanina Martinez, Cristian Molinaro, Andreas Pieris & Gerardo I. Simari - 2022 - Artificial Intelligence 307 (C):103685.
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  16.  89
    Symposium: The Principle of Individuation.J. Lukasiewicz, E. Anscombe & K. Popper - 1953 - Aristotelian Society Supplementary Volume 27 (1):69 - 120.
  17.  10
    Expressive probabilistic description logics.Thomas Lukasiewicz - 2008 - Artificial Intelligence 172 (6-7):852-883.
  18.  6
    Weak nonmonotonic probabilistic logics.Thomas Lukasiewicz - 2005 - Artificial Intelligence 168 (1-2):119-161.
  19.  6
    Complexity results for preference aggregation over (m)CP-nets: Pareto and majority voting.Thomas Lukasiewicz & Enrico Malizia - 2019 - Artificial Intelligence 272 (C):101-142.
  20.  11
    O logice Stoików.Jan Lukasiewicz - 2011 - Philosophie Antique 11:8.
    O logice Stoików pisali Prantl, Zeller, Brochard. Żaden z nich nie zrozumiał tej logiki, bo żaden z nich nie miał dostatecznego wykształcenia logicznego. Co prawda, nie można im nawet robić z tego zarzutu, bo skądże się mieli logiki nauczyć? Sądy ich o logice stoickiej nie mają żadnej wartości. Dopiero dziś wiemy, dzięki logice matematycznej, że logika Stoików jest systemem całkowicie różnym od syllogistyki Arystotelesa. Logika stoicka bowiem jest odpowiednikiem dzisiejszej "teorji dedu...
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  21. Curriculum vitae of Jan Lukasiewicz.Jan Lukasiewicz - 1994 - Metalogicon 2:133-137.
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  22.  89
    Nonmonotonic probabilistic reasoning under variable-strength inheritance with overriding.Thomas Lukasiewicz - 2005 - Synthese 146 (1-2):153 - 169.
    We present new probabilistic generalizations of Pearl’s entailment in System Z and Lehmann’s lexicographic entailment, called Zλ- and lexλ-entailment, which are parameterized through a value λ ∈ [0,1] that describes the strength of the inheritance of purely probabilistic knowledge. In the special cases of λ = 0 and λ = 1, the notions of Zλ- and lexλ-entailment coincide with probabilistic generalizations of Pearl’s entailment in System Z and Lehmann’s lexicographic entailment that have been recently introduced by the author. We show (...)
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  23. Die logischen Grundlagen der Wahrscheinlichkeitsrechnung.Jan Lukasiewicz - 1914 - Revue de Métaphysique et de Morale 22 (2):16-17.
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  24.  33
    Aristotle's Syllogistic from the Standpoint of Modern Formal Logic.Joseph T. Clark & Jan Lukasiewicz - 1952 - Philosophical Review 61 (4):575.
  25.  13
    Actes du Huitième Congrès International de Philosophic.Jan Lukasiewicz - 1937 - Journal of Symbolic Logic 2 (3):138-140.
  26.  15
    Sur la Formalisation des Theories Mathematiques.Jan Lukasiewicz - 1957 - Journal of Symbolic Logic 22 (2):214-214.
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  27.  4
    Sur la logique des stoïciens.Jan Lukasiewicz - 2011 - Philosophie Antique 11:9.
    La logique des stoïciens a été déjà étudiée par Prantl, Zeller et Brochard. Aucun d’entre eux ne l’a comprise, car aucun n’avait de formation suffisante en logique. Il est vrai que cela ne peut même pas leur être reproché, car, après tout, où pouvaient-ils l’apprendre? Leurs jugements sur la logique stoïcienne n’ont aucune valeur. Ce n’est qu’aujourd’hui que nous savons, grâce à la logique mathématique, que la logique des stoïciens est un système entièrement différent de la syllogistique d’A...
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  28. O Zasadzie sprzecznósci u. Arystotelesa. Ueber den Satz des Widerspruchs bei Aristoteles.Jan Lukasiewicz - 1910 - Revue de Métaphysique et de Morale 18 (6):14-15.
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  29.  25
    Sur le principe de contradiction chez Aristote.Jan Lukasiewicz, Barbara Cassin & Michel Narcy - 1991 - Rue Descartes 1:9-32.
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  30.  77
    Probabilistic logic under coherence, model-theoretic probabilistic logic, and default reasoning in System P.Veronica Biazzo, Angelo Gilio, Thomas Lukasiewicz & Giuseppe Sanfilippo - 2002 - Journal of Applied Non-Classical Logics 12 (2):189-213.
    We study probabilistic logic under the viewpoint of the coherence principle of de Finetti. In detail, we explore how probabilistic reasoning under coherence is related to model- theoretic probabilistic reasoning and to default reasoning in System . In particular, we show that the notions of g-coherence and of g-coherent entailment can be expressed by combining notions in model-theoretic probabilistic logic with concepts from default reasoning. Moreover, we show that probabilistic reasoning under coherence is a generalization of default reasoning in System (...)
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  31. Estudios de Lógica y Filosofía.Jan Lukasiewicz - 1978 - Critica 10 (30):100-109.
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  32.  8
    Klemens Szaniawski-rationality and statistical methods.Maria Lukasiewicz, Stanislaw Ossowskis & Wladyslaw Tatarkiewicz - 2001 - In Władysław Krajewski (ed.), Polish Philosophers of Science and Nature in the 20th Century. Rodopi. pp. 3--169.
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  33.  6
    Probabilistic Default Reasoning with Conditional Constraints.Thomas Lukasiewicz - 2000 - Linköping Electronic Articles in Computer and Information Science 5.
    We propose a combination of probabilistic reasoning from conditional constraints with approaches to default reasoning from conditional knowledge bases. In detail, we generalize the notions of Pearl's entailment in system Z, Lehmann's lexicographic entailment, and Geffner's conditional entailment to conditional constraints. We give some examples that show that the new notions of z-, lexicographic, and conditional entailment have similar properties like their classical counterparts. Moreover, we show that the new notions of z-, lexicographic, and conditional entailment are proper generalizations of (...)
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  34. Para una historia de la Lógica de Enunciados.Jan Lukasiewicz - 1976 - Critica 8 (22):124-129.
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  35. Scientific Knowledge and Common Knowledge.D. Lukasiewicz & R. Pouivet (eds.) - 2009
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  36. Ueber den Satz des Widerspruchs bei Aristoteles, Bulletin de l'Académie des Sciences de Cracovie, décembre 1909.Jan Lukasiewicz - 1912 - Revue de Métaphysique et de Morale 20 (2):10-11.
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  37.  12
    Combining answer set programming with description logics for the Semantic Web.Thomas Eiter, Giovambattista Ianni, Thomas Lukasiewicz, Roman Schindlauer & Hans Tompits - 2008 - Artificial Intelligence 172 (12-13):1495-1539.
  38.  42
    Remarks on Nicod's Axiom and on "Generalizing Deduction".H. A. Pogorzelski, Jan Lukasiewicz, Jerzy Slupecki & Panstwowe Wydawnictwo - 1965 - Journal of Symbolic Logic 30 (3):376.
  39.  37
    Zur Gefchichte der Ausfagenlogik. [REVIEW]Jan Lukasiewicz - 1935 - Erkenntnis 5 (1):111-131.
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  40.  20
    Ontology Reasoning with Deep Neural Networks.Patrick Hohenecker & Thomas Lukasiewicz - manuscript
    The ability to conduct logical reasoning is a fundamental aspect of intelligent behavior, and thus an important problem along the way to human-level artificial intelligence. Traditionally, symbolic methods from the field of knowledge representation and reasoning have been used to equip agents with capabilities that resemble human reasoning qualities. More recently, however, there has been an increasing interest in applying alternative approaches based on machine learning rather than logic-based formalisms to tackle this kind of tasks. Here, we make use of (...)
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  41.  19
    Medicaid Patients Have Greater Difficulty Scheduling Health Care Appointments Compared With Private Insurance Patients: A Meta-Analysis.Walter R. Hsiang, Adam Lukasiewicz, Mark Gentry, Chang-Yeon Kim, Michael P. Leslie, Richard Pelker, Howard P. Forman & Daniel H. Wiznia - 2019 - Inquiry: The Journal of Health Care Organization, Provision, and Financing 56:004695801983811.
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  42.  12
    The defeat of the Winograd Schema Challenge.Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus & Leora Morgenstern - 2023 - Artificial Intelligence 325 (C):103971.
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  43.  10
    Ontology Reasoning with Deep Neural Networks.Patrick Hohenecker & Thomas Lukasiewicz - 2018
    The ability to conduct logical reasoning is a fundamental aspect of intelligent behavior, and thus an important problem along the way to human-level artificial intelligence. Traditionally, symbolic methods from the field of knowledge representation and reasoning have been used to equip agents with capabilities that resemble human reasoning qualities. More recently, however, there has been an increasing interest in applying alternative approaches based on machine learning rather than logic-based formalisms to tackle this kind of tasks. Here, we make use of (...)
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  44.  10
    Complexity results for structure-based causality.Thomas Eiter & Thomas Lukasiewicz - 2002 - Artificial Intelligence 142 (1):53-89.
  45.  6
    Default reasoning from conditional knowledge bases: Complexity and tractable cases.Thomas Eiter & Thomas Lukasiewicz - 2000 - Artificial Intelligence 124 (2):169-241.
  46. On the Principle of Contradiction In Aristotle.Jan Lukasiewicz [[sic]] - 1971 - Review of Metaphysics 24 (3):485-509.
    In the discussion at hand I have attempted to pave the way for such a treatment of the principle of contradiction. In a number of respects it seems to me worthwhile to relate my critical exposition to Aristotle's train of thought. Indeed, every critique must be raised against something substantial, otherwise it generally becomes the critic's leisurely game with his own cerebral phantasies. Now Aristotle's intuitions regarding the principle of contradiction are, for the most part and clear down to the (...)
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  47.  8
    Combining probabilistic logic programming with the power of maximum entropy.Gabriele Kern-Isberner & Thomas Lukasiewicz - 2004 - Artificial Intelligence 157 (1-2):139-202.
  48.  5
    Causes and explanations in the structural-model approach: Tractable cases.Thomas Eiter & Thomas Lukasiewicz - 2006 - Artificial Intelligence 170 (6-7):542-580.
  49.  11
    Zur vollen dreiwertigen Ausfagenlogik. [REVIEW]J. Lukasiewicz - 1935 - Erkenntnis 5 (1):176-176.
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  50.  8
    Complexity results for explanations in the structural-model approach.Thomas Eiter & Thomas Lukasiewicz - 2004 - Artificial Intelligence 154 (1-2):145-198.
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